What is the official website of OTP banka Hrvatska ?

The official website of OTP banka Hrvatska is http://www.otpbanka.hr.

What is OTP banka Hrvatska's cybersecurity risk score?

OTP banka Hrvatska has an AI-generated cybersecurity risk score of 758 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has OTP banka Hrvatska experienced?

According to Rankiteo, OTP banka Hrvatska currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has OTP banka Hrvatska been affected by any supply chain cyber incidents ?

According to Rankiteo, OTP banka Hrvatska has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does OTP banka Hrvatska have SOC 2 Type 1 certification ?

According to Rankiteo, OTP banka Hrvatska is not certified under SOC 2 Type 1.

Does OTP banka Hrvatska have SOC 2 Type 2 certification ?

According to Rankiteo, OTP banka Hrvatska does not hold a SOC 2 Type 2 certification.

Does OTP banka Hrvatska comply with GDPR ?

According to Rankiteo, OTP banka Hrvatska is not listed as GDPR compliant.

Does OTP banka Hrvatska have PCI DSS certification ?

According to Rankiteo, OTP banka Hrvatska does not currently maintain PCI DSS compliance.

Does OTP banka Hrvatska comply with HIPAA ?

According to Rankiteo, OTP banka Hrvatska is not compliant with HIPAA regulations.

Does OTP banka Hrvatska have ISO 27001 certification ?

According to Rankiteo,OTP banka Hrvatska is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does OTP banka Hrvatska operate in ?

OTP banka Hrvatska operates primarily in the Banking industry.

How many employees does OTP banka Hrvatska have ?

OTP banka Hrvatska employs approximately 1,064 people worldwide.

Does OTP banka Hrvatska own any subsidiaries ?

OTP banka Hrvatska presently has no subsidiaries across any sectors.

How many LinkedIn followers does OTP banka Hrvatska have ?

OTP banka Hrvatska's official LinkedIn profile has approximately 11,778 followers.

What is the NAICS classification code for OTP banka Hrvatska ?

OTP banka Hrvatska is classified under the NAICS code 52211, which corresponds to Commercial Banking.

Does OTP banka Hrvatska have a Crunchbase profile ?

No, OTP banka Hrvatska does not have a profile on Crunchbase.

Does OTP banka Hrvatska have a LinkedIn profile ?

Yes, OTP banka Hrvatska maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/otp-banka-hrvatska-d-d-.

How many cybersecurity incidents has OTP banka Hrvatska experienced ?

As of July 22, 2026, Rankiteo reports that OTP banka Hrvatska has not experienced any cybersecurity incidents.

How many peer or competitor companies does OTP banka Hrvatska have ?

OTP banka Hrvatska has an estimated 7,426 peer or competitor companies worldwide.

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OBH

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758

/1000

Fair

783

/1000

Fair

OTP banka Hrvatska Vendor Cyber Rating & Cyber Score

otpbanka.hr

Add Your Compliance Badge

U OTP banci želimo pokazati da može i drugačije. Naša svrha je da kao zelena, napredna i digitalna organizacija podržavamo svoje klijente konkurentnim i kvalitetnim financijskim proizvodima te omogućavamo ostvarenje njihovih životnih i poslovnih planova. Inovativna smo banka s fokusom na uvođenje novih tehnologija, razvoj proizvoda i agilan pristup poslovanju. Četvrta smo banka po veličini na hrvatskom bankarskom tržištu sa sjedištem u Splitu te poslovnim centrima u Zadru, Zagrebu, Varaždinu, Puli, Dubrovniku i Osijeku te mrežom od preko 100 poslovnica diljem Hrvatske. Naših više od 2.000 zaposlenika brine o financijskim potrebama preko 500.000 naših klijenata u sektorima građanstva i gospodarstva. Posebnu pažnju poklanjamo stvaranju

OBH A.I CyberSecurity Scoring

Scoring History

OBH

OTP banka Hrvatska CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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A.I.

OBH Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for OBH

Incidents vs Banking Industry Avg (This Year)

No incidents recorded for OTP banka Hrvatska in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for OTP banka Hrvatska in 2026.

Incident Types OBH vs Banking Industry Avg (This Year)

No incidents recorded for OTP banka Hrvatska in 2026.

Incident History - OBH (X = Date, Y = Severity)

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SUBSIDIARY

OTP banka Hrvatska Subsidiaries

OBH

Banking

Website: http://www.otpbanka.hr

Company Size: 1,064

OTP GroupFinancial Services

OTP Bank MagyarországBanking

OTP Global MarketsCapital Markets

OTP banka, SlovenijaBanking

OTP Bank, MoldovaBanking

OTP Bank AlbaniaBanking

DSK BankBanking

IPOTEKA BANKBanking

CKB bankBanking

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personal-finance.bnpparibas

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NEWS

OTP banka Hrvatska CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-63261

SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-72/388575

CVE-2026-63260

SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-71/388574

CVE-2026-63259

SUMMARY

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-9-4-4-security-update-esa-2026-70/388573

CVE-2026-63145

SUMMARY

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 4.3)

cvss3

Base Score: 4.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N

Impact Score

1.4

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/kibana-8-19-19-9-3-8-9-4-4-security-update-esa-2026-69/388572

CVE-2026-63144

SUMMARY

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.

Published

Date2026-07-21

Updated

Date2026-07-21

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

https://discuss.elastic.co/t/elasticsearch-8-19-19-9-3-8-9-4-4-security-update-esa-2026-68/388571

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